Lead ML Engineer - Generative AI, NLP & LLMs

Saal.ai; Abu Dhabi Emirate; On-site; AED 300,000 - 420,000; Full time

Job summary

Saal.ai in Abu Dhabi is seeking a Senior Machine Learning Engineer to lead the design, training, and deployment of AI models including NLP, DL, and LLM-based systems. You will guide junior engineers and collaborate with product teams to deliver scalable AI solutions.

The role requires strong full-stack and software development skills, expertise with Docker and microservices, and experience deploying models to production with automated pipelines and monitoring.

Qualifications

• 5+ years of AI/ML experience with a focus on building and deploying AI models.
• Hands-on experience with transformers and LLMs, fine-tuning and deployment.

Responsibilities

• Lead junior to mid-level ML engineers and developers.
• Build, train, and optimize AI models for NLP, speech, and recognition.
• Package AI models as services for production deployment.
• Deploy AI services using microservices and Docker containers.
• Design and implement automated ML pipelines for training, testing and inference.
• Oversee scalable deployments and distributed training processes.
• Monitor model performance and iterate for improvements.
• Contribute to full-stack development and software engineering practices.
• Collaborate with data scientists, product managers, and software engineers.

Skills

ML engineering

Deep learning

NLP

LLMs

Python

Java

Full-stack development

Docker

Education

Master's degree in Artificial Intelligence or CS

Tools

TensorFlow

PyTorch

Docker

Microservices

Job description

Saal.ai in Abu Dhabi is seeking a Senior Machine Learning Engineer to lead the design, training, and deployment of AI models including NLP, DL, and LLM-based systems. You will guide junior engineers and collaborate with product teams to deliver scalable AI solutions.

The role requires strong full-stack and software development skills, expertise with Docker and microservices, and experience deploying models to production with automated pipelines and monitoring.